In simple terms, containers are a standard package of software that enable applications to run consistently across different computing environments. Often, these applications are broken down into smaller collections of independent services known as microservices. For many organizations, these microservices-based applications have replaced traditional monolithic applications because they offer increased performance, flexibility, and scale.

Log forwarding can be seen as the first step towards centralized log management. With centralized log management, your organization can gain from enhanced visibility, monitoring, and analysis capabilities, making it a coveted practice for numerous organizations. Log forwarding is crucial for maintaining robust IT security and operational efficiency, allowing organizations to manage and analyze logs from multiple systems in a centralized, scalable manner.

So far, we’ve detailed the Autonomic IT maturity model and discussed the characteristics of the early stages of that journey, progressing from “Siloed IT” to “Coordinated IT” and then to “Machine-Assisted IT in recent blog posts.” Wherever your organization is on this journey, there is likely still work to be done.

While building Sentry, we also use Sentry to identify bugs, performance slowdowns, and issues that worsen our users’ experience. With our focus on keeping developers in their flow as much as possible, that often means identifying, fixing, and improving our integrations with other critical developer tools. Recently, one of our customers reported an issue with our Slack integration that I was able to debug and resolve with the help of our Trace View.

Managing IT operations is becoming more complex with the rapid evolution of IT environments. As a result, leaders are looking for more efficient, intelligent ways to monitor and maintain their IT systems. AIOps has evolved as one of the most promising solutions in recent years. AIOps uses machine learning (ML), big data, and automation to streamline IT operations.

Site Reliability Engineers (SREs) are crucial for the smooth delivery of online services. Their job is to ensure that systems are reliable, available, and efficient. But when things go wrong, they’re the ones who jump into action to fix issues as fast as possible. And with modern systems being as complex as they are, managing service disruptions can be quite a challenge. This is where Slack comes in. It’s more than just a chat tool.

Imagine stepping into the role of a DevOps engineer at an online learning company that utilizes Open edX as its core Learning Management System (LMS). As the platform scales to accommodate more learners, a myriad of challenges begin to surface: These are just the tip of the iceberg. It's pivotal that you provide timely reports on site performance and error tracking in real time, and fix any issues before they affect a significant user base.

Deploy Google Cloud's high-performance, PostgreSQL-compatible database AlloyDB Omni on AWS, Azure and Google Cloud, managed by Aiven’s multi-cloud, data infrastructure platform.

New Relic and AppDynamics are leading monitoring and observability tools for monitoring the performance of your applications and network. Both help you keep track of how well your systems are running, but they do it in different ways. New Relic is a great tool for APM, making it versatile for tracking overall system performance. It also features an easy-to-use interface and strong data visualization.

Optimize network performance by ensuring both you and your peers are locally connected. When it comes to Internet Exchanges (IXs), there are two types of peering: local peering and remote peering. And depending on your network setup and goals, the type you use can have a significant impact on your network performance. While remote peering has valuable use cases, we often see customers using it in scenarios where it is actually doing more harm than good to their network performance.